Dhaka, Bangladesh 🇧🇩
Published AI researcher specializing in LLMs, RAG systems, and healthcare analytics. Master's in Financial Engineering. 3x Microsoft Certified. Passionate about building intelligent systems and advancing AI innovation.
Currently: Remote Research Assistant @ Q1 Edit | Master's Student in Financial Engineering @ WorldQuant University
PyTorch · TensorFlow · Keras · Scikit-learn · Hugging Face
LLM Development · Fine-tuning · Prompt Engineering · RAG Systems
Model Evaluation · Agentic AI Workflows · Vector Databases (Pinecone)
Credit Risk Modeling · Predictive Analytics · Financial Forecasting
ML for Credit Decisioning · Time Series Analysis · Data Processing
Python (Advanced) · SQL (MySQL, PostgreSQL) · R · JavaScript · Java
Jupyter · Git/GitHub · MATLAB · Power BI · Tableau
Apache Spark · Kafka · ETL Pipelines
AWS (EC2, S3, SageMaker) · GCP (Vertex AI, BigQuery) · Azure ML
Git/GitHub · Docker · CI/CD · GPU-based Training
LangChain · LlamaIndex · spaCy · NLTK · OpenCV · YOLO · FastAI
Pandas · NumPy · Scikit-learn · XGBoost · LightGBM
SmartHeart: A conceptual framework for explainable machine learning in cardiovascular risk prediction
- 📕 Computers in Biology and Medicine | Elsevier
- Impact Factor: 6.3 (Q1) | October 2025
- DOI: 10.1016/j.compbiomed.2025.111221
- Toward Explainable Cardiovascular Disease Diagnosis - ICDAI 2023 (Springer Nature)
- Implementing an Alarm Based Driver Drowsiness Detection System - IEEE RESEM 2023
- Synergistic Precision: Advancing Prostate Cancer Diagnosis - MAiTRI-2024 (Springer)
- Integration of Machine Learning Models into Clinical Practice - AISTS-2025
- Thyroid Tumor Ultrasound Image Classification Enhanced by XAI - AISTS-2025
- ✅ Azure Data Scientist Associate
- ✅ Azure AI Engineer Associate
- 🎓 Large Language Model Agents MOOC (UC Berkeley) - 2024
- 🎓 Advanced LLM Agents MOOC (UC Berkeley) - 2025
- 🎓 Agentic AI MOOC (UC Berkeley) - 2025
- 🎓 AI Programming with Python Nanodegree (Udacity)
- 🎓 Aspire Leaders Program (Harvard University) - Fully-funded
- 🚀 AWS AI & ML Scholarship - Fully-funded
- 🏆 DataCamp 2023: Top 1% Streak for 77 Days (800,000+ XP)
- 🏆 Data Science Club - Data Dynamo of the Month (2023)
- 🏆 STUDY IN INDIA (SII) Government Scholarship
- 🏆 Finalist in Intellify Hackathon 2023
ML-based diagnostic accuracy enhancement with clinical data analysis
OpenAI API-powered real-time market analysis platform
NLP & ML-based healthcare accessibility solution
Sentiment analysis for smart restaurant recommendations
LSTM neural networks for financial time-series prediction
Collaborative filtering system with advanced ML techniques
Research & Development
- Published researcher with 6+ peer-reviewed publications
- Expertise in healthcare analytics, explainable AI (XAI), and financial modeling
- Strong background in ML methodology and statistical analysis
Technical Leadership
- Experience mentoring teams and cross-functional collaboration
- Technical writing and documentation expertise
- Proficient in presenting complex AI/ML concepts
Production-Ready Development
- MLOps best practices and model deployment
- Cloud platform expertise (AWS, GCP, Azure)
- Git-based version control and CI/CD workflows
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- Large Language Models - Development, fine-tuning, deployment
- RAG Systems - Building retrieval-augmented generation applications
- Financial AI - Credit risk, predictive modeling, time series
- Explainable AI (XAI) - Interpretable machine learning models
- Healthcare Analytics - ML applications in medical diagnostics
- Cloud ML Solutions - AWS SageMaker, GCP Vertex AI, Azure ML
- Advanced agentic AI patterns and frameworks
- Multimodal AI applications
- Production MLOps at scale
- Financial engineering applications of AI
- 🎓 Pursuing Master's in Financial Engineering while researching AI applications
- 🌍 Helping bridge healthcare gaps through AI-powered diagnostic tools
- 🚀 Passionate about open-source ML and AI innovation
- 📊 Completed 6+ international research conferences
Publications: 6
Certifications: 10+
Research Areas: 3 (LLMs, Healthcare AI, Financial AI)
GitHub Projects: 50+
Conference Talks: 6+
Thanks for visiting! Feel free to reach out for collaborations or discussions on AI/ML research.
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